Instructions to use RedHatAI/oBERT-3-downstream-pruned-block4-80-QAT-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-3-downstream-pruned-block4-80-QAT-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-3-downstream-pruned-block4-80-QAT-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ebf4a603c011147e91639a8ba526c92c0ef622d8e8d192549837f3723d22a0a
- Size of remote file:
- 466 kB
- SHA256:
- 5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b
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